LinearRecogniserTrainer Class Reference

#include <old_linearrecognisertrainer.h>

List of all members.

Public Member Functions

 LinearRecogniserTrainer (JavaVM *jvm, DigestDbModel *digestDbModel, QObject *parent=0)
 DECLARE_CLASS_KEY (LinearRecogniser::classKey())
 DECLARE_CLASS_TITLE_NONTR (LinearRecogniser::classTitle())
 DECLARE_CLASS_DESCRIPTION_NONTR (LinearRecogniser::classDescription())

Protected Member Functions

bool prepareForTraining ()
bool examineSample (const DGestureRecord &sample, const QVector< FeatureResultT > &featureVec)
bool finalizeTraining ()
bool writeModelFile (const QString &fileName)


Constructor & Destructor Documentation

LinearRecogniserTrainer::LinearRecogniserTrainer ( JavaVM *  jvm,
DigestDbModel digestDbModel,
QObject *  parent = 0 
)

used for internal calculations, not results.


Member Function Documentation

LinearRecogniserTrainer::DECLARE_CLASS_KEY ( LinearRecogniser::  classKey()  ) 

LinearRecogniserTrainer::DECLARE_CLASS_TITLE_NONTR ( LinearRecogniser::  classTitle()  ) 

LinearRecogniserTrainer::DECLARE_CLASS_DESCRIPTION_NONTR ( LinearRecogniser::  classDescription()  ) 

bool LinearRecogniserTrainer::prepareForTraining (  )  [protected]

bool LinearRecogniserTrainer::examineSample ( const DGestureRecord sample,
const QVector< FeatureResultT > &  featureVec 
) [protected]

bool LinearRecogniserTrainer::finalizeTraining (  )  [protected]

See: Rubine, D. Specifying Gestures by Sample. Computer Graphics 25, 4 (July 1991), 329-337.

Assumes that there is at least one sample for each class.

bool LinearRecogniserTrainer::writeModelFile ( const QString &  fileName  )  [protected]


The documentation for this class was generated from the following files:
Generated on Mon Jul 30 09:46:52 2007 for Digest by  doxygen 1.5.2